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» Sublinear Time Algorithms for Metric Space Problems
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133
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CEC
2008
IEEE
15 years 10 months ago
Learning what to ignore: Memetic climbing in topology and weight space
— We present the memetic climber, a simple search algorithm that learns topology and weights of neural networks on different time scales. When applied to the problem of learning ...
Julian Togelius, Faustino J. Gomez, Jürgen Sc...
CODES
2006
IEEE
15 years 9 months ago
A formal approach to robustness maximization of complex heterogeneous embedded systems
Embedded system optimization typically considers objectives such as cost, timing, buffer sizes and power consumption. Robustness criteria, i.e. sensitivity of the system to variat...
Arne Hamann, Razvan Racu, Rolf Ernst
143
Voted
DCG
2008
86views more  DCG 2008»
15 years 3 months ago
Efficient Algorithms for Maximum Regression Depth
We investigate algorithmic questions that arise in the statistical problem of computing lines or hyperplanes of maximum regression depth among a set of n points. We work primarily...
Marc J. van Kreveld, Joseph S. B. Mitchell, Peter ...
212
Voted
VLDB
2008
ACM
103views Database» more  VLDB 2008»
16 years 3 months ago
The optimal sequenced route query
Several variations of nearest neighbor (NN) query have been investigated by the database community. However, realworld applications often result in the formulation of new variatio...
Mehdi Sharifzadeh, Mohammad R. Kolahdouzan, Cyrus ...
114
Voted
GECCO
2007
Springer
262views Optimization» more  GECCO 2007»
15 years 9 months ago
Geometric particle swarm optimization for the sudoku puzzle
Geometric particle swarm optimization (GPSO) is a recently introduced generalization of traditional particle swarm optimization (PSO) that applies to all combinatorial spaces. The...
Alberto Moraglio, Julian Togelius